{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 用Python制作常用的统计表"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入常用函数库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 柱状图（条形图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "name_list = ['AA', 'BB', 'CC', 'DD']\n",
    "num_list = [10, 100 , 50, 1]\n",
    "plt.bar(range(len(num_list)), num_list, tick_label=name_list,color='rbg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 折线图（曲线图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "name_list = ['1', '2', '3', '4', '5', '6']\n",
    "num_list = [1000, 5000, 500, 2000, 6000, 30000]\n",
    "plt.plot(name_list,num_list)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 饼图（扇形统计图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "name_list = ['A', 'B', 'C', 'D']\n",
    "num_list = [40, 20, 30, 10]\n",
    "\n",
    "plt.axes(aspect=1)\n",
    "plt.pie(x=num_list, labels=name_list, autopct='%3.1f %%')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
